gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	156
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.9 KiB
Average record size in memory	169.8 B

Variable types

Numeric	10
Categorical	9

Dataset

Description	광업권 설정출원 및 등록현황 - 광종별, 시도별 가행광구 현황에 대한 데이터로 연도, 광종분류, 광종 등의 항목을 제공합니다.
Author	산업통상자원부
URL	https://www.data.go.kr/data/15051131/fileData.do

Alerts

`대전` has constant value ""	Constant
`부산` is highly overall correlated with `울산` and 2 other fields	High correlation
`광종` is highly overall correlated with `울산` and 11 other fields	High correlation
`울산` is highly overall correlated with `경북` and 4 other fields	High correlation
`경기` is highly overall correlated with `강원` and 4 other fields	High correlation
`강원` is highly overall correlated with `경기` and 4 other fields	High correlation
`충북` is highly overall correlated with `강원` and 3 other fields	High correlation
`충남` is highly overall correlated with `전북` and 4 other fields	High correlation
`전북` is highly overall correlated with `강원` and 6 other fields	High correlation
`전남` is highly overall correlated with `강원` and 4 other fields	High correlation
`경북` is highly overall correlated with `울산` and 7 other fields	High correlation
`경남` is highly overall correlated with `전북` and 4 other fields	High correlation
`광종분류` is highly overall correlated with `광종`	High correlation
`서울` is highly overall correlated with `울산` and 3 other fields	High correlation
`대구` is highly overall correlated with `울산` and 6 other fields	High correlation
`인천` is highly overall correlated with `서울`	High correlation
`광주` is highly overall correlated with `경기`	High correlation
`세종` is highly overall correlated with `경기` and 1 other fields	High correlation
`서울` is highly imbalanced (60.9%)	Imbalance
`대구` is highly imbalanced (70.8%)	Imbalance
`인천` is highly imbalanced (68.2%)	Imbalance
`광주` is highly imbalanced (94.4%)	Imbalance
`세종` is highly imbalanced (70.8%)	Imbalance
`울산` has 112 (71.8%) zeros	Zeros
`경기` has 82 (52.6%) zeros	Zeros
`강원` has 12 (7.7%) zeros	Zeros
`충북` has 30 (19.2%) zeros	Zeros
`충남` has 54 (34.6%) zeros	Zeros
`전북` has 75 (48.1%) zeros	Zeros
`전남` has 50 (32.1%) zeros	Zeros
`경북` has 20 (12.8%) zeros	Zeros
`경남` has 80 (51.3%) zeros	Zeros

Reproduction

Analysis started	2024-03-14 20:00:40.256582
Analysis finished	2024-03-14 20:01:06.367302
Duration	26.11 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

연도
Real number (ℝ)

Distinct	12
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2017.5

Minimum	2012
Maximum	2023
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	2012
5-th percentile	2012
Q1	2014.75
median	2017.5
Q3	2020.25
95-th percentile	2023
Maximum	2023
Range	11
Interquartile range (IQR)	5.5

Descriptive statistics

Standard deviation	3.4631703
Coefficient of variation (CV)	0.0017165652
Kurtosis	-1.217232
Mean	2017.5
Median Absolute Deviation (MAD)	3
Skewness	0
Sum	314730
Variance	11.993548
Monotonicity	Increasing

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2012	13	8.3%
2013	13	8.3%
2014	13	8.3%
2015	13	8.3%
2016	13	8.3%
2017	13	8.3%
2018	13	8.3%
2019	13	8.3%
2020	13	8.3%
2021	13	8.3%
Other values (2)	26	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2012	13	8.3%
2013	13	8.3%
2014	13	8.3%
2015	13	8.3%
2016	13	8.3%
2017	13	8.3%
2018	13	8.3%
2019	13	8.3%
2020	13	8.3%
2021	13	8.3%

Value	Count	Frequency (%)
2023	13	8.3%
2022	13	8.3%
2021	13	8.3%
2020	13	8.3%
2019	13	8.3%
2018	13	8.3%
2017	13	8.3%
2016	13	8.3%
2015	13	8.3%
2014	13	8.3%

광종분류
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

비금속광	108
금속광	48

Length

Max length	4
Median length	4
Mean length	3.6923077
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	금속광
2nd row	금속광
3rd row	금속광
4th row	금속광
5th row	비금속광

Common Values

Value	Count	Frequency (%)
비금속광	108	69.2%
금속광	48	30.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
비금속광	108	69.2%
금속광	48	30.8%

광종
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

기타	24
금,은,동,연,아연	12
철,망간	12
우라늄	12
석탄,흑연	12
Other values (7)	84

Length

Max length	10
Median length	7
Mean length	3.7692308
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	금,은,동,연,아연
2nd row	철,망간
3rd row	우라늄
4th row	기타
5th row	석탄,흑연

Common Values

Value	Count	Frequency (%)
기타	24	15.4%
금,은,동,연,아연	12	7.7%
철,망간	12	7.7%
우라늄	12	7.7%
석탄,흑연	12	7.7%
규석,장석	12	7.7%
석회석	12	7.7%
고령토,규조토	12	7.7%
납석	12	7.7%
활석	12	7.7%
Other values (2)	24	15.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
기타	24	15.4%
금,은,동,연,아연	12	7.7%
철,망간	12	7.7%
우라늄	12	7.7%
석탄,흑연	12	7.7%
규석,장석	12	7.7%
석회석	12	7.7%
고령토,규조토	12	7.7%
납석	12	7.7%
활석	12	7.7%
Other values (2)	24	15.4%

서울
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

0	144
1	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	144	92.3%
1	12	7.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	144	92.3%
1	12	7.7%

부산
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

0	135
1	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	135	86.5%
1	21	13.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	135	86.5%
1	21	13.5%

대구
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

0	148
1	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	148	94.9%
1	8	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	148	94.9%
1	8	5.1%

인천
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

0	137
1	9
2	6
5	3
6	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	6
5th row	0

Common Values

Value	Count	Frequency (%)
0	137	87.8%
1	9	5.8%
2	6	3.8%
5	3	1.9%
6	1	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	137	87.8%
1	9	5.8%
2	6	3.8%
5	3	1.9%
6	1	0.6%

광주
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

0	155
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	155	99.4%
4	1	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	155	99.4%
4	1	0.6%

대전
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

0	156

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	156	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	156	100.0%

울산
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1858974

Minimum	0
Maximum	14
Zeros	112
Zeros (%)	71.8%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	13
Maximum	14
Range	14
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	4.2997442
Coefficient of variation (CV)	1.9670384
Kurtosis	1.7039908
Mean	2.1858974
Median Absolute Deviation (MAD)	0
Skewness	1.8233253
Sum	341
Variance	18.4878
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	112	71.8%
2	12	7.7%
13	9	5.8%
4	8	5.1%
11	6	3.8%
10	6	3.8%
14	3	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	112	71.8%
2	12	7.7%
4	8	5.1%
10	6	3.8%
11	6	3.8%
13	9	5.8%
14	3	1.9%

Value	Count	Frequency (%)
14	3	1.9%
13	9	5.8%
11	6	3.8%
10	6	3.8%
4	8	5.1%
2	12	7.7%
0	112	71.8%

세종
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	1.3 KiB

0	148
1	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	148	94.9%
1	8	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	148	94.9%
1	8	5.1%

경기
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	20
Distinct (%)	12.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.0705128

Minimum	0
Maximum	32
Zeros	82
Zeros (%)	52.6%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	7
95-th percentile	25.25
Maximum	32
Range	32
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	7.8041446
Coefficient of variation (CV)	1.5391233
Kurtosis	3.0104818
Mean	5.0705128
Median Absolute Deviation (MAD)	0
Skewness	1.8877366
Sum	791
Variance	60.904673
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	82	52.6%
7	20	12.8%
3	9	5.8%
8	7	4.5%
9	7	4.5%
2	6	3.8%
15	4	2.6%
25	3	1.9%
14	3	1.9%
4	2	1.3%
Other values (10)	13	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	82	52.6%
2	6	3.8%
3	9	5.8%
4	2	1.3%
7	20	12.8%
8	7	4.5%
9	7	4.5%
12	2	1.3%
13	1	0.6%
14	3	1.9%

Value	Count	Frequency (%)
32	1	0.6%
31	1	0.6%
30	1	0.6%
29	1	0.6%
28	2	1.3%
26	2	1.3%
25	3	1.9%
23	1	0.6%
18	1	0.6%
15	4	2.6%

강원
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	44
Distinct (%)	28.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.762821

Minimum	0
Maximum	776
Zeros	12
Zeros (%)	7.7%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	14
Q3	47
95-th percentile	679
Maximum	776
Range	776
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	181.94782
Coefficient of variation (CV)	2.4336671
Kurtosis	8.2263255
Mean	74.762821
Median Absolute Deviation (MAD)	9
Skewness	3.1445922
Sum	11663
Variance	33105.008
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
8	16	10.3%
14	13	8.3%
0	12	7.7%
48	11	7.1%
7	11	7.1%
6	10	6.4%
5	9	5.8%
43	7	4.5%
10	6	3.8%
11	4	2.6%
Other values (34)	57	36.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	7.7%
4	3	1.9%
5	9	5.8%
6	10	6.4%
7	11	7.1%
8	16	10.3%
9	4	2.6%
10	6	3.8%
11	4	2.6%
13	2	1.3%

Value	Count	Frequency (%)
776	1	0.6%
771	1	0.6%
695	1	0.6%
690	2	1.3%
688	1	0.6%
682	2	1.3%
678	1	0.6%
676	1	0.6%
675	1	0.6%
669	1	0.6%

충북
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	40
Distinct (%)	25.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.512821

Minimum	0
Maximum	255
Zeros	30
Zeros (%)	19.2%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	11
Q3	26.25
95-th percentile	215.5
Maximum	255
Range	255
Interquartile range (IQR)	25.25

Descriptive statistics

Standard deviation	60.559913
Coefficient of variation (CV)	1.9847366
Kurtosis	7.1397164
Mean	30.512821
Median Absolute Deviation (MAD)	11
Skewness	2.8666352
Sum	4760
Variance	3667.5031
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	30	19.2%
4	13	8.3%
1	13	8.3%
11	10	6.4%
15	9	5.8%
3	9	5.8%
24	6	3.8%
27	5	3.2%
5	5	3.2%
2	5	3.2%
Other values (30)	51	32.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	30	19.2%
1	13	8.3%
2	5	3.2%
3	9	5.8%
4	13	8.3%
5	5	3.2%
6	1	0.6%
11	10	6.4%
12	3	1.9%
13	2	1.3%

Value	Count	Frequency (%)
255	1	0.6%
254	3	1.9%
236	1	0.6%
235	1	0.6%
226	2	1.3%
212	1	0.6%
210	1	0.6%
204	1	0.6%
203	1	0.6%
64	2	1.3%

충남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	41
Distinct (%)	26.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.262821

Minimum	0
Maximum	127
Zeros	54
Zeros (%)	34.6%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	5
Q3	27
95-th percentile	119.5
Maximum	127
Range	127
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	32.955515
Coefficient of variation (CV)	1.6264031
Kurtosis	4.0858009
Mean	20.262821
Median Absolute Deviation (MAD)	5
Skewness	2.192457
Sum	3161
Variance	1086.066
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0	54	34.6%
5	13	8.3%
4	8	5.1%
15	7	4.5%
17	6	3.8%
3	5	3.2%
6	5	3.2%
1	4	2.6%
29	4	2.6%
119	3	1.9%
Other values (31)	47	30.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	54	34.6%
1	4	2.6%
2	1	0.6%
3	5	3.2%
4	8	5.1%
5	13	8.3%
6	5	3.2%
7	1	0.6%
11	2	1.3%
13	1	0.6%

Value	Count	Frequency (%)
127	2	1.3%
123	3	1.9%
122	2	1.3%
121	1	0.6%
119	3	1.9%
96	1	0.6%
59	1	0.6%
58	1	0.6%
57	1	0.6%
54	3	1.9%

전북
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	31
Distinct (%)	19.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.403846

Minimum	0
Maximum	74
Zeros	75
Zeros (%)	48.1%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	10.75
95-th percentile	56.5
Maximum	74
Range	74
Interquartile range (IQR)	10.75

Descriptive statistics

Standard deviation	19.094258
Coefficient of variation (CV)	1.67437
Kurtosis	2.2932278
Mean	11.403846
Median Absolute Deviation (MAD)	1
Skewness	1.7842234
Sum	1779
Variance	364.59069
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	75	48.1%
1	16	10.3%
7	8	5.1%
6	7	4.5%
37	6	3.8%
8	4	2.6%
24	3	1.9%
38	3	1.9%
28	3	1.9%
31	3	1.9%
Other values (21)	28	17.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	75	48.1%
1	16	10.3%
2	2	1.3%
3	2	1.3%
5	1	0.6%
6	7	4.5%
7	8	5.1%
8	4	2.6%
9	2	1.3%
16	1	0.6%

Value	Count	Frequency (%)
74	1	0.6%
72	2	1.3%
71	2	1.3%
67	1	0.6%
61	1	0.6%
58	1	0.6%
56	1	0.6%
50	2	1.3%
47	1	0.6%
42	1	0.6%

전남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	22
Distinct (%)	14.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.717949

Minimum	0
Maximum	89
Zeros	50
Zeros (%)	32.1%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	10
Q3	23
95-th percentile	83
Maximum	89
Range	89
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	22.514166
Coefficient of variation (CV)	1.4323858
Kurtosis	4.2313491
Mean	15.717949
Median Absolute Deviation (MAD)	10
Skewness	2.1360929
Sum	2452
Variance	506.88768
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
0	50	32.1%
1	23	14.7%
23	19	12.2%
17	15	9.6%
10	9	5.8%
30	5	3.2%
86	5	3.2%
11	5	3.2%
16	4	2.6%
28	4	2.6%
Other values (12)	17	10.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	50	32.1%
1	23	14.7%
10	9	5.8%
11	5	3.2%
16	4	2.6%
17	15	9.6%
19	2	1.3%
22	1	0.6%
23	19	12.2%
24	1	0.6%

Value	Count	Frequency (%)
89	1	0.6%
88	1	0.6%
87	1	0.6%
86	5	3.2%
82	2	1.3%
80	1	0.6%
78	1	0.6%
30	5	3.2%
29	3	1.9%
28	4	2.6%

경북
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	45
Distinct (%)	28.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.5

Minimum	0
Maximum	214
Zeros	20
Zeros (%)	12.8%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	21.5
Q3	35.25
95-th percentile	203.25
Maximum	214
Range	214
Interquartile range (IQR)	33.25

Descriptive statistics

Standard deviation	50.292756
Coefficient of variation (CV)	1.5965954
Kurtosis	7.3178515
Mean	31.5
Median Absolute Deviation (MAD)	19.5
Skewness	2.8223044
Sum	4914
Variance	2529.3613
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
0	20	12.8%
2	17	10.9%
1	16	10.3%
26	7	4.5%
22	6	3.8%
16	6	3.8%
23	5	3.2%
36	5	3.2%
31	5	3.2%
27	4	2.6%
Other values (35)	65	41.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	20	12.8%
1	16	10.3%
2	17	10.9%
3	1	0.6%
4	3	1.9%
6	1	0.6%
8	2	1.3%
10	1	0.6%
15	1	0.6%
16	6	3.8%

Value	Count	Frequency (%)
214	2	1.3%
212	1	0.6%
211	1	0.6%
206	1	0.6%
205	2	1.3%
204	1	0.6%
203	2	1.3%
134	1	0.6%
121	1	0.6%
49	1	0.6%

경남
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	21
Distinct (%)	13.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.115385

Minimum	0
Maximum	211
Zeros	80
Zeros (%)	51.3%
Negative	0
Negative (%)	0.0%
Memory size	1.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	7
95-th percentile	191.5
Maximum	211
Range	211
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	51.912825
Coefficient of variation (CV)	2.7157615
Kurtosis	7.9891498
Mean	19.115385
Median Absolute Deviation (MAD)	0
Skewness	3.1028957
Sum	2982
Variance	2694.9414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	80	51.3%
1	15	9.6%
7	9	5.8%
5	8	5.1%
23	5	3.2%
3	5	3.2%
6	4	2.6%
198	4	2.6%
18	3	1.9%
11	3	1.9%
Other values (11)	20	12.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	80	51.3%
1	15	9.6%
2	1	0.6%
3	5	3.2%
5	8	5.1%
6	4	2.6%
7	9	5.8%
11	3	1.9%
18	3	1.9%
19	3	1.9%

Value	Count	Frequency (%)
211	1	0.6%
203	1	0.6%
200	1	0.6%
198	4	2.6%
193	1	0.6%
191	1	0.6%
189	3	1.9%
27	3	1.9%
26	3	1.9%
24	2	1.3%

Heatmap
Table

	연도	광종분류	광종	서울	부산	대구	인천	광주	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남
연도	1.000	0.000	0.000	0.000	0.000	0.000	0.000	NaN	0.000	0.272	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
광종분류	0.000	1.000	0.986	0.588	0.034	0.148	0.211	0.000	0.372	0.000	0.398	0.254	0.364	0.218	0.426	0.598	0.434	0.659
광종	0.000	0.986	1.000	0.803	0.994	0.933	0.627	0.111	0.921	0.629	0.835	0.890	0.953	0.900	0.776	0.986	0.895	0.972
서울	0.000	0.588	0.803	1.000	0.000	0.000	0.531	0.000	0.670	0.000	0.000	0.000	0.000	0.039	0.975	0.272	0.251	0.000
부산	0.000	0.034	0.994	0.000	1.000	0.000	0.000	0.000	0.605	0.295	0.574	0.000	0.229	0.097	0.098	0.613	0.495	0.684
대구	0.000	0.148	0.933	0.000	0.000	1.000	0.000	0.223	0.668	0.000	0.493	0.000	0.000	0.745	0.984	0.960	0.960	0.968
인천	0.000	0.211	0.627	0.531	0.000	0.000	1.000	0.000	0.769	0.319	0.620	0.352	0.521	0.467	0.759	0.488	0.000	0.000
광주	NaN	0.000	0.111	0.000	0.000	0.223	0.000	1.000	0.189	0.000	1.000	0.000	0.000	0.206	0.432	0.352	0.352	0.440
울산	0.000	0.372	0.921	0.670	0.605	0.668	0.769	0.189	1.000	0.000	0.466	0.000	0.036	0.667	0.903	0.717	0.691	0.641
세종	0.272	0.000	0.629	0.000	0.295	0.000	0.319	0.000	0.000	1.000	0.607	0.000	0.492	0.556	0.258	0.504	0.273	0.483
경기	0.000	0.398	0.835	0.000	0.574	0.493	0.620	1.000	0.466	0.607	1.000	0.476	0.705	0.678	0.691	0.786	0.566	0.740
강원	0.000	0.254	0.890	0.000	0.000	0.000	0.352	0.000	0.000	0.000	0.476	1.000	0.823	0.564	0.680	0.581	0.359	0.000
충북	0.000	0.364	0.953	0.000	0.229	0.000	0.521	0.000	0.036	0.492	0.705	0.823	1.000	0.680	0.655	0.859	0.605	0.461
충남	0.000	0.218	0.900	0.039	0.097	0.745	0.467	0.206	0.667	0.556	0.678	0.564	0.680	1.000	0.769	0.782	0.829	0.796
전북	0.000	0.426	0.776	0.975	0.098	0.984	0.759	0.432	0.903	0.258	0.691	0.680	0.655	0.769	1.000	0.847	0.797	0.849
전남	0.000	0.598	0.986	0.272	0.613	0.960	0.488	0.352	0.717	0.504	0.786	0.581	0.859	0.782	0.847	1.000	0.920	0.817
경북	0.000	0.434	0.895	0.251	0.495	0.960	0.000	0.352	0.691	0.273	0.566	0.359	0.605	0.829	0.797	0.920	1.000	0.815
경남	0.000	0.659	0.972	0.000	0.684	0.968	0.000	0.440	0.641	0.483	0.740	0.000	0.461	0.796	0.849	0.817	0.815	1.000

Heatmap
Table

	서울	부산	인천	광종분류	세종	대구	광종	광주
서울	1.000	0.000	0.638	0.400	0.000	0.000	0.624	0.000
부산	0.000	1.000	0.000	0.021	0.191	0.000	0.900	0.000
인천	0.638	0.000	1.000	0.255	0.386	0.000	0.400	0.000
광종분류	0.400	0.021	0.255	1.000	0.000	0.094	0.868	0.000
세종	0.000	0.191	0.386	0.000	1.000	0.000	0.477	0.000
대구	0.000	0.000	0.000	0.094	0.000	1.000	0.763	0.143
광종	0.624	0.900	0.400	0.868	0.477	0.763	1.000	0.081
광주	0.000	0.000	0.000	0.000	0.000	0.143	0.081	1.000

Heatmap
Table

	연도	울산	경기	강원	충북	충남	전북	전남	경북	경남	광종분류	광종	서울	부산	대구	인천	광주	세종
연도	1.000	-0.070	-0.006	0.026	-0.005	-0.045	-0.082	-0.068	-0.024	-0.067	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.224
울산	-0.070	1.000	-0.138	-0.198	-0.116	0.025	0.241	0.358	0.522	0.477	0.449	0.804	0.794	0.723	0.792	0.390	0.228	0.000
경기	-0.006	-0.138	1.000	0.572	0.359	0.349	0.380	0.314	0.138	0.493	0.388	0.546	0.000	0.564	0.483	0.414	0.977	0.598
강원	0.026	-0.198	0.572	1.000	0.709	0.464	0.603	0.503	0.365	0.296	0.168	0.589	0.000	0.000	0.000	0.292	0.000	0.000
충북	-0.005	-0.116	0.359	0.709	1.000	0.436	0.525	0.401	0.501	0.401	0.258	0.679	0.000	0.162	0.000	0.385	0.000	0.350
충남	-0.045	0.025	0.349	0.464	0.436	1.000	0.670	0.487	0.639	0.469	0.229	0.721	0.038	0.101	0.794	0.320	0.216	0.588
전북	-0.082	0.241	0.380	0.603	0.525	0.670	1.000	0.480	0.598	0.656	0.318	0.464	0.840	0.071	0.866	0.408	0.322	0.191
전남	-0.068	0.358	0.314	0.503	0.401	0.487	0.480	1.000	0.711	0.507	0.428	0.808	0.192	0.440	0.810	0.356	0.250	0.359
경북	-0.024	0.522	0.138	0.365	0.501	0.639	0.598	0.711	1.000	0.551	0.308	0.560	0.178	0.353	0.810	0.000	0.250	0.193
경남	-0.067	0.477	0.493	0.296	0.401	0.469	0.656	0.507	0.551	1.000	0.458	0.762	0.000	0.479	0.832	0.000	0.294	0.325
광종분류	0.000	0.449	0.388	0.168	0.258	0.229	0.318	0.428	0.308	0.458	1.000	0.868	0.400	0.021	0.094	0.255	0.000	0.000
광종	0.000	0.804	0.546	0.589	0.679	0.721	0.464	0.808	0.560	0.762	0.868	1.000	0.624	0.900	0.763	0.400	0.081	0.477
서울	0.000	0.794	0.000	0.000	0.000	0.038	0.840	0.192	0.178	0.000	0.400	0.624	1.000	0.000	0.000	0.638	0.000	0.000
부산	0.000	0.723	0.564	0.000	0.162	0.101	0.071	0.440	0.353	0.479	0.021	0.900	0.000	1.000	0.000	0.000	0.000	0.191
대구	0.000	0.792	0.483	0.000	0.000	0.794	0.866	0.810	0.810	0.832	0.094	0.763	0.000	0.000	1.000	0.000	0.143	0.000
인천	0.000	0.390	0.414	0.292	0.385	0.320	0.408	0.356	0.000	0.000	0.255	0.400	0.638	0.000	0.000	1.000	0.000	0.386
광주	0.000	0.228	0.977	0.000	0.000	0.216	0.322	0.250	0.250	0.294	0.000	0.081	0.000	0.000	0.143	0.000	1.000	0.000
세종	0.224	0.000	0.598	0.000	0.350	0.588	0.191	0.359	0.193	0.325	0.000	0.477	0.000	0.191	0.000	0.386	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	연도	광종분류	광종	서울	부산	대구	인천	광주	울산	경기	강원	충북	충남	전북	전남	경북	경남
0	2012	금속광	금,은,동,연,아연	0	0	0	0	0	0	9	39	29	11	24	17	27	23
1	2012	금속광	철,망간	0	0	0	0	0	0	8	5	1	0	0	0	1	0
2	2012	금속광	우라늄	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3	2012	금속광	기타	1	0	0	6	0	4	0	11	0	7	37	1	20	19
4	2012	비금속광	석탄,흑연	0	0	0	0	0	0	2	48	4	0	0	17	1	0
5	2012	비금속광	규석,장석	0	0	0	1	0	0	32	81	64	42	31	30	43	11
6	2012	비금속광	석회석	0	0	0	0	0	0	0	676	212	16	9	23	48	0
7	2012	비금속광	고령토,규조토	0	0	1	0	4	14	18	50	24	123	67	86	205	193
8	2012	비금속광	납석	0	1	0	0	0	2	0	4	11	0	0	28	25	5
9	2012	비금속광	활석	0	0	0	0	0	0	0	8	17	5	3	0	2	0

	연도	광종분류	광종	서울	부산	대구	인천	울산	세종	경기	강원	충북	충남	전북	전남	경북	경남
146	2023	금속광	기타	1	0	0	0	0	0	0	69	37	27	42	11	48	27
147	2023	비금속광	석탄,흑연	0	0	0	0	0	0	7	43	4	0	0	0	1	0
148	2023	비금속광	규석,장석	0	0	0	2	0	1	29	66	62	30	32	27	35	7
149	2023	비금속광	석회석	0	0	0	0	0	0	0	776	255	17	7	0	36	0
150	2023	비금속광	고령토,규조토	0	0	1	0	13	0	8	40	12	96	47	89	121	189
151	2023	비금속광	납석	0	1	0	0	2	0	0	8	5	0	0	23	15	6
152	2023	비금속광	활석	0	0	0	0	0	0	0	9	15	5	0	0	2	0
153	2023	비금속광	운모	0	0	0	0	0	0	3	8	27	4	1	0	4	1
154	2023	비금속광	규사	0	0	0	1	0	0	0	8	0	49	0	11	23	0
155	2023	비금속광	기타	0	0	0	0	10	0	0	6	3	0	0	1	47	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample